experiment-design-validation

Installation
SKILL.md

Experiment Design Validation

Core Workflow

  1. Define the decision the experiment will inform.
  2. Write a falsifiable hypothesis with target audience, change, expected behavior, and reason.
  3. Choose method: A/B test, holdout, fake-door test, concierge test, prototype test, usability test, smoke test, survey, landing-page test, or qualitative validation.
  4. Define primary metric, guardrail metrics, segmentation, exposure rules, sample/traffic constraints, duration, and stop criteria.
  5. Plan instrumentation and QA before launch.
  6. Decide in advance how results will be interpreted and what action follows.
  7. Record result, learning, caveats, and next experiment.

Freshness Rule

Verify current analytics, experimentation platform, privacy, consent, and ad-platform docs before giving tactical setup guidance for A/B tools, GA4/Firebase events, conversion tracking, targeting, or experiment allocation.

Deliverable Shape

For experiment work, provide:

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GitHub Stars
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First Seen
May 28, 2026